Human Generated Data

Title

Penance

Date

17th century

People

Artist: Jean Pesne, French 1623 - 1700

Artist after: Nicolas Poussin, French 1594 - 1665

Classification

Prints

Human Generated Data

Title

Penance

People

Artist: Jean Pesne, French 1623 - 1700

Artist after: Nicolas Poussin, French 1594 - 1665

Date

17th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Painting 99.7
Art 99.7
Person 99
Human 99
Person 98.9
Person 97
Person 96.8
Person 94
Person 92.8
Person 90.3
Person 89.7
Person 86.5
Person 84.9
Person 83.9
Person 77.9
Person 76.4
Person 71.5
Person 70.3
Person 46.5

Clarifai

people 100
art 99.8
print 99.3
group 99
engraving 98.2
adult 98.2
illustration 98
man 97.9
many 97.3
leader 96.4
administration 94.3
soldier 92.4
emperor 92.2
monarch 91.7
sword 91.3
facial hair 91
sculpture 89.4
one 88.9
cavalry 87.6
etching 87.2

Imagga

sculpture 52
architecture 44.8
statue 34.4
history 32.2
art 31.9
building 31.5
menorah 30.9
stone 30.4
monument 29.9
landmark 28.9
ancient 27.7
old 27.2
candelabrum 24.7
tourism 23.9
sketch 23.9
balcony 22.7
famous 22.3
structure 22
historical 21.6
column 21.3
religion 20.6
travel 20.4
marble 20.2
facade 20.1
carving 20
culture 19.7
temple 19
drawing 18.9
candlestick 18.7
historic 18.3
city 18.3
representation 15.8
detail 15.3
decoration 15.1
church 14.8
exterior 14.8
god 14.4
palace 13.9
architectural 13.5
antique 13.4
wall 12.8
holder 12.5
tourist 11.8
carved 11.7
details 11.3
arch 11.2
ornate 11
baroque 10.8
cathedral 10.6
house 9.9
roman 9.8
museum 9.7
heritage 9.7
symbol 9.4
religious 9.4
destination 9.4
water 9.3
support 9.2
memorial 9
style 8.9
statues 8.9
fountain 8.7
attraction 8.6
capital 8.5
classic 8.4
figure 8.3
sky 8.3
glass 8.1
carvings 7.9
artistic 7.8
stucco 7.8
catholic 7.8
holy 7.7
place 7.4
town 7.4
design 7.3
graffito 7.2
interior 7.1

Google

Microsoft

text 99.7
old 96.9
person 96.2
book 95.3
clothing 85.6
drawing 62.3
man 61.3
vintage 30

Face analysis

Amazon

AWS Rekognition

Age 43-61
Gender Male, 54.9%
Surprised 45%
Happy 45%
Calm 49%
Sad 49.7%
Fear 45%
Angry 46.1%
Confused 45%
Disgusted 45%

AWS Rekognition

Age 31-47
Gender Male, 50.4%
Calm 50.2%
Angry 49.6%
Surprised 49.5%
Sad 49.5%
Fear 49.5%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 23-37
Gender Male, 50.1%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%
Fear 49.5%
Happy 49.5%
Sad 50.3%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 28-44
Gender Male, 50%
Sad 49.5%
Disgusted 49.5%
Calm 50.5%
Fear 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.2%
Confused 49.5%
Happy 49.7%
Fear 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.5%
Calm 50.2%
Disgusted 49.5%

AWS Rekognition

Age 35-51
Gender Female, 51.5%
Confused 45.1%
Angry 51.8%
Calm 45.1%
Disgusted 46.5%
Sad 46.1%
Happy 45.1%
Fear 45.4%
Surprised 45%

AWS Rekognition

Age 27-43
Gender Male, 53.9%
Happy 48.7%
Sad 49.4%
Fear 45%
Surprised 45%
Disgusted 45%
Calm 46.6%
Angry 45.1%
Confused 45%

AWS Rekognition

Age 30-46
Gender Male, 54.6%
Disgusted 45%
Happy 45.6%
Confused 45%
Sad 45.1%
Calm 53.4%
Angry 45.6%
Surprised 45.2%
Fear 45.1%

AWS Rekognition

Age 20-32
Gender Male, 50.1%
Fear 49.5%
Happy 49.5%
Angry 49.5%
Sad 50.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-51
Gender Female, 53.6%
Disgusted 45.1%
Angry 45.3%
Calm 51.4%
Confused 45.1%
Surprised 45.1%
Happy 46.4%
Fear 45.2%
Sad 46.4%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Happy 49.9%
Angry 49.5%
Fear 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.9%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.1%
Angry 49.7%
Happy 49.8%
Fear 49.5%
Surprised 49.5%
Confused 49.6%
Disgusted 49.5%
Calm 49.6%
Sad 49.7%

AWS Rekognition

Age 24-38
Gender Female, 50.1%
Sad 49.7%
Fear 49.5%
Surprised 49.5%
Calm 50.2%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 48-66
Gender Male, 54%
Surprised 45%
Confused 45%
Calm 47.4%
Happy 51.9%
Disgusted 45%
Angry 45.3%
Sad 45.3%
Fear 45%

AWS Rekognition

Age 44-62
Gender Male, 50.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Fear 49.5%
Sad 49.5%
Angry 49.5%
Calm 50.4%
Surprised 49.5%

AWS Rekognition

Age 23-35
Gender Male, 53.3%
Confused 45%
Surprised 45%
Disgusted 45%
Calm 54.6%
Angry 45%
Fear 45%
Sad 45.2%
Happy 45%

Feature analysis

Amazon

Painting 99.7%
Person 99%

Captions

Microsoft

a vintage photo of an old building 84.5%
a vintage photo of a person 83.4%
an old photo of a person 83.3%

Text analysis

Amazon

MVLTVM
DILEVIT
REMITTVNTVR
MVLTA.
REMITTVNTVR EI PECCITI MVLTA. QVIA DILEVIT MVLTVM
EI PECCITI
QVIA

Google

REMITTVNTVR EI PECCATA MVLTA QVIA DILENIT MVLTVM
PECCATA
QVIA
MVLTVM
REMITTVNTVR
MVLTA
DILENIT
EI